Discharge Time of Day and 30-day Hospital Reutilization at an Academic Children's Hospital.

BACKGROUND: Pediatric hospital discharge is a complex process. Although morning discharges are operationally preferred, little is known about the association between discharge time of day and discharge outcomes. We assessed whether children discharged from the hospital in the evening have a higher 30-day hospital reutilization rate than those discharged in the morning or afternoon. METHODS: We conducted a retrospective cohort study on discharges from a children's hospital between July 2016 and December 2019. The cohort was divided into morning, afternoon, and evening discharges. Multivariable modified least-squares regression was used to compare 30-day all-cause hospital reutilization rates between morning, afternoon, and evening discharges while adjusting for demographic and clinical characteristics. RESULTS: Among 24 994 hospital discharges, 6103 (24.4%) were in the morning, 13 786 (55.2%) were in the afternoon, and 5105 (20.4%) were in the evening. The unadjusted 30-day hospital reutilization rates were 14.1% in children discharged in the morning, 18.2% in children discharged in the afternoon, and 19.3% in children discharged in the evening. The adjusted 30-day hospital reutilization rate was lowest in the morning (6.1%, 95% confidence interval [CI] 4.1%-8.2%), followed by afternoon (9.0%, 95% CI 7.0%-11.0%) and evening discharges (10.1%, 95% CI 8.0%-12.3%). Morning discharge had a significantly lower adjusted 30-day all-cause hospital reutilization rate compared with evening discharge (P < .001), whereas afternoon and evening discharges were not significantly different (P = .06). CONCLUSIONS: The adjusted 30-day all-cause hospital reutilization rate was higher for evening discharges compared with morning discharges, whereas the rate was not significantly different between afternoon and evening discharges.

Association of HIV and viral suppression status with hospital acute kidney injury in the era of antiretroviral therapy.

In the modern era, it is unknown if people that are virally suppressed with HIV (PWH) are at increased risk for acute kidney injury (AKI) compared to people without HIV and no studies have compared the risk of AKI by viral suppression status. Here, we determined the associations of HIV status and AKI among PWH with and without viral suppression compared to people without HIV. An observational cohort study of PWH and people without HIV hospitalized in a large New York City health system between 2010-2019 was conducted. Multivariable Cox proportional hazards models were used to determine associations between HIV status and risk of AKI, severe AKI and development of chronic kidney disease (CKD). Among 173,884 hospitalized patients, 4,718 had HIV; 2,532 (53.7%) were virally suppressed and 2,186 (46.3%) were not suppressed. Compared to people without HIV, PWH with and without viral suppression were at increased risk of AKI (adjusted hazard ratio 1.27, 95% confidence interval 1.15, 1.40 and 1.73, 1.58, 1.90, respectively) and AKI requiring kidney replacement therapy (1.89, 1.27, 2.84 and 1.87, 1.23, 2.84, respectively). Incremental, graded associations were observed between HIV status and Stage 2 or 3 AKI, and among AKI survivors, and incident CKD. The elevated risk of AKI across ages of PWH was similar in magnitude to older people without HIV. Thus, regardless of virologic control, HIV is an independent risk factor for AKI among hospitalized patients. Future studies should determine the mechanisms by which HIV increases susceptibility to AKI and identify strategies to prevent AKI in PWH.

Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study.

STUDY OBJECTIVE: Postoperative respiratory failure is a major surgical complication and key quality metric. Existing prediction tools underperform, are limited to specific populations, and necessitate manual calculation. This limits their implementation. We aimed to create an improved, machine learning powered prediction tool with ideal characteristics for automated calculation. DESIGN, SETTING, AND PATIENTS: We retrospectively reviewed 101,455 anesthetic procedures from 1/2018 to 6/2021. The primary outcome was the Standardized Endpoints in Perioperative Medicine consensus definition for postoperative respiratory failure. Secondary outcomes were respiratory quality metrics from the National Surgery Quality Improvement Sample, Society of Thoracic Surgeons, and CMS. We abstracted from the electronic health record 26 procedural and physiologic variables previously identified as respiratory failure risk factors. We randomly split the cohort and used the Random Forest method to predict the composite outcome in the training cohort. We coined this the RESPIRE model and measured its accuracy in the validation cohort using area under the receiver operating curve (AUROC) analysis, among other measures, and compared this with ARISCAT and SPORC-1, two leading prediction tools. We compared performance in a validation cohort using score cut-offs determined in a separate test cohort. MAIN RESULTS: The RESPIRE model exhibited superior accuracy with an AUROC of 0.93 (95% CI, 0.92-0.95) compared to 0.82 for both ARISCAT and SPORC-1 (P-for-difference < 0.0001 for both). At comparable 80-90% sensitivities, RESPIRE had higher positive predictive value (11%, 95% CI: 10-12%) and lower false positive rate (12%, 95% CI: 12-13%) compared to 4% and 37% for both ARISCAT and SPORC-1. The RESPIRE model also better predicted the established quality metrics for postoperative respiratory failure. CONCLUSIONS: We developed a general-purpose, machine learning powered prediction tool with superior performance for research and quality-based definitions of postoperative respiratory failure.

Improving quality of life and self-care for patients on hemodialysis using cognitive behavioral strategies: A randomized controlled pilot trial.

INTRODUCTION: Behavioral-education interventions have the potential to improve quality of life and self-care for patients on hemodialysis (HD) but have not been incorporated into routine clinical practice. The purpose of this pilot study was to determine the feasibility of delivering a simple behavioral-education intervention using cognitive behavioral strategies in patients receiving HD with poor quality of life. METHODS: In this mixed methods study, HD patients were randomly assigned to the study intervention (8 behavioral-education sessions delivered over 12 weeks) or a control group of dialysis education alone. Kidney disease quality of life (KDQOL)-36 scores, depressive symptoms and self-care behaviors were measured at weeks 0, 8, and 16. Following study completion, participants, social workers, and physicians provided their perspectives about the intervention via qualitative interviews. FINDINGS: Forty-five participants were randomized. Due, in part, to social worker attrition from the intervention arm, 34 participants (76%) completed at least 1 study session and were included in the analysis. The intervention led to modest, but non-significant, increase in KDQOL-physical component summary scores (+3.1±1.2 points) from week 0 to week 16. There were small, non-significant decreases in interdialytic weight gain and pre-dialysis phosphorus levels in the intervention group. Participants felt that chair-side delivery was practical and efficient, and that content related to the impact of dialysis on daily life was unique and important. Suggestions for adapting the intervention included narrowing its content and its delivery by additional providers that are not necessarily therapy trained. DISCUSSION: In this pilot study, we were able to deliver a simple behavioral-education intervention to improve both quality of life and self-care. Participants had a positive impression of the intervention, but we did not find significant improvements in quality of life or self-care. We will now adapt our intervention by narrowing its content and by using other providers that are focused solely on delivering the intervention.

Stress cardiomyopathy in critical care: A case series of 109 patients.

BACKGROUND: Critically ill patients are at risk of developing stress cardiomyopathy (SC) but can be under-recognized. AIM: To describe a case series of patients with SC admitted to critical care units. METHODS: We conducted a retrospective observational study at a tertiary care teaching hospital. All adult (≥ 18 years old) patients admitted to the critical care units with stress cardiomyopathy over 5 years were included. RESULTS: Of 24279 admissions to the critical care units [19139 to medical-surgical intensive care units (MSICUs) and 5140 in coronary care units (CCUs)], 109 patients with SC were identified. Sixty (55%) were admitted to the coronary care units (CCUs) and forty-nine (45%) to the medical-surgical units (MSICUs). The overall incidence of SC was 0.44%, incidence in CCU and MSICU was 1.16% and 0.25% respectively. Sixty-two (57%) had confirmed SC and underwent cardiac catheterization whereas 47 (43%) had clinical SC, and did not undergo cardiac catheterization. Forty-three (72%) patients in the CCUs were diagnosed with primary SC, whereas all (100%) patients in MSICUs developed secondary SC. Acute respiratory failure that required invasive mechanical ventilation and shock developed in twenty-nine (59%) MSICU patients. There were no statistically significant differences in intensive care unit (ICU) mortality, in-hospital mortality, use of inotropic or mechanical circulatory support based on type of unit or anatomical variant. CONCLUSION: Stress cardiomyopathy can be under-recognized in the critical care setting. Intensivists should have a high index of suspicion for SC in patients who develop sudden or worsening unexplained hemodynamic instability, arrhythmias or respiratory failure in ICU.

Adverse pregnancy outcomes in women with systemic lupus erythematosus: can we improve predictions with machine learning?

OBJECTIVES: Nearly 20% of pregnancies in patients with SLE result in an adverse pregnancy outcome (APO). We previously developed an APO prediction model using logistic regression and data from Predictors of pRegnancy Outcome: bioMarkers In Antiphospholipid Antibody Syndrome and Systemic Lupus Erythematosus (PROMISSE), a large multicentre study of pregnant women with mild/moderate SLE and/or antiphospholipid antibodies. Our goal was to determine whether machine learning (ML) approaches improve APO prediction and identify other risk factors. METHODS: The PROMISSE data included 41 predictors from 385 subjects; 18.4% had APO (preterm delivery due to placental insufficiency/pre-eclampsia, fetal/neonatal death, fetal growth restriction). Logistic regression with stepwise selection (LR-S), least absolute shrinkage and selection operator (LASSO), random forest (RF), neural network (NN), support vector machines (SVM-RBF), gradient boosting (GB) and SuperLearner (SL) were compared by cross-validated area under the ROC curve (AUC) and calibration. RESULTS: Previously identified APO risk factors, antihypertensive medication use, low platelets, SLE disease activity and lupus anticoagulant (LAC), were confirmed as important with each algorithm. LASSO additionally revealed potential interactions between LAC and anticardiolipin IgG, among others. SL performed the best (AUC=0.78), but was statistically indistinguishable from LASSO, SVM-RBF and RF (AUC=0.77 for all). LR-S, NN and GB had worse AUC (0.71-0.74) and calibration scores. CONCLUSIONS: We predicted APO with reasonable accuracy using variables routinely assessed prior to the 12th week of pregnancy. LASSO and some ML methods performed better than a standard logistic regression approach. Substantial improvement in APO prediction will likely be realised, not with increasingly complex algorithms but by the discovery of new biomarkers and APO risk factors.

Long-Term Follow up of Renal and Other Acute Organ Failure in Survivors of Critical Illness Due to Covid-19.

BACKGROUND: Little is known about the long-term health sequelae and outcomes of various organ failures in ICU survivors of Covid-19. The aim of our research was to study the characteristics of 120-day ICU survivors of the initial pandemic surge and report their long term (>6 months) outcomes. METHODS: We conducted a telephone questionnaire-based follow up study of 120- day survivors of Covid-19 admitted to ICUs at Montefiore Medical Center, Bronx, NY from 3/10/2020 to 4/11/2020. The study period was 2 months (11/1/2020-12/31/2020). RESULTS: 126 out of 300 (42%) survived to 120-days post-hospital discharge. The median age of survivors was 54 (47-61) years. Seventy-eight (62%) patients developed acute kidney injury (AKI); thirty-five (44.9%) of them required renal replacement therapy (RRT). One hundred-five (83.3%) required invasive mechanical ventilation; ten of them required tracheotomy. 103 (81.7%) completed the telephone questionnaire-based study, at a median (IQR) of 216.5 (200-234.5) days after hospital discharge. 29 (28.2%) patients reported persistent shortness of breath, 24, (23.3%) complained of persistent cough, and persistent anosmia in 9 (8.8%). AKI resolved completely in 58 (74.4%) patients. Of 35 AKI patients who required initiation of RRT during hospitalization, 27 (77%) were liberated from RRT and 20 (57%) had resolution of AKI. Of 20 patients without AKI resolution, 12 developed chronic kidney disease, whereas 8 still require RRT. Thirty-three (32.4%) patients developed post-traumatic stress disorder (PTSD) and 10 (11.8%) reported major depression. Many of the patients (68%) regained baseline functional status. Readmissions occurred in 22.3% patients within first 6 months after discharge. CONCLUSION: Persistent symptoms of long Covid have been reported in ICU survivors of Covid-19 for extended durations. Outcomes of Covid-19 associated acute kidney injury are excellent. There is a high incidence of PTSD and depression in COVID-19 ICU survivors. Functional outcomes are good, but these patients remain at increased risk of hospital readmission.

Legionella Pneumonia in the ICU: A Tertiary Care Center Experience Over 10 Years.

Few studies have reported the complications and outcomes of patients with Legionella pneumonia requiring ICU admission. The objective of our study is to report the clinical course, complications, and 30-day mortality of patients with Legionella pneumonia admitted to the critical care units at our medical center over a 10-year period. DESIGN: Retrospective observational study. SETTING: Tertiary care teaching hospital. PATIENTS: All adult (≥ 18 yr old) patients with Legionella pneumonia admitted to the ICUs from January 1, 2010, to December 31, 2019. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 88 patients with Legionella pneumonia were admitted to ICUs over the 10-year period. The majority of infections (n = 80; 90.9%) were community acquired. The median (interquartile range) age of patients was 60 years (51.5-71.0 yr); 58 (66%) were male, and 41 (46.6%) identified their race as Black. The median (interquartile range) Sequential Organ Failure Assessment score at ICU admission was 6 (3-9). The distribution of infections showed seasonal dominance with most cases (86%) occurring in the summer to early fall (May to October). Invasive mechanical ventilation was required in 62 patients (70.5%), septic shock developed in 57 patients (64.8%), and acute respiratory distress syndrome developed in 42 patients (47.7%). A majority of patients developed acute kidney injury (n = 69; 78.4%), with 15 (21.7%) receiving only intermittent hemodialysis and 15 (21.7%) requiring continuous renal replacement therapy. Ten patients required venovenous extracorporeal membrane oxygenation support; eight (80%) survived and were successfully decannulated. Overall 30-day mortality was 26.1% (n = 23). Advanced age, higher Sequential Organ Failure Assessment score at admission, and not receiving Legionella-specific antimicrobial therapy within 24 hours of hospital admission were predictors of 30-day mortality. CONCLUSIONS: Patients with Legionella pneumonia may require ICU admission and major organ support. Legionella-targeted antibiotics should be included in the empiric regimen for any patient with severe pneumonia. Outcomes of extracorporeal membrane oxygenation therapy in this population are encouraging.

Brief Report: Acute Kidney Injury in People Living With HIV Hospitalized With Coronavirus Disease 2019: Clinical Characteristics and Outcomes.

BACKGROUND: Data on clinical characteristics and outcomes of people living with HIV (PLWH) hospitalized with coronavirus disease 2019 (COVID-19) who develop acute kidney injury (AKI) are limited. SETTING: Large tertiary health care system in the Bronx, NY. METHODS: We performed a retrospective cohort study of 83 PLWH and 4151 patients without HIV hospitalized with COVID-19 from March 10, 2020, to May 11, 2020. We compared the clinical characteristics and outcomes associated with AKI by HIV serostatus and evaluated HIV-related factors for AKI among PLWH. AKI was defined and staged using Kidney Disease Improving Global Outcomes criteria. RESULTS: The incidence of AKI in hospitalized patients with COVID-19 did not differ significantly by HIV serostatus (54.2% in PLWH vs 49.5% in patients without HIV, P = 0.6). Despite a higher incidence of stage 3 AKI (28.9% vs 17.1% P = 0.05) in PLWH compared with those without HIV, there was no significant difference in the need for renal replacement therapy (22.2% vs 13.4% P = 0.12), renal recovery (76.9% vs 82.5% P = 0.61), or dependence on renal replacement therapy (7.7% vs 3.8% P = 0.27). CD4 T-cell count, HIV-1 RNA viral suppression, and antiretroviral therapy use were not associated with AKI. AKI was associated with increased need for invasive ventilation and in-hospital death, but HIV was not an independent risk factor of in-hospital death after AKI [adjusted hazard ratio 1.01 (95% CI: 0.59 to 1.72), P = 0.98]. CONCLUSIONS: HIV-related factors were not associated with increased risk of AKI in PLWH hospitalized with COVID-19. PLWH hospitalized with COVID-19 had more stage 3 AKI, but outcomes after AKI were similar to those without HIV.

Subgroup discovery in non-inferiority trials.

Approaches and guidelines for performing subgroup analysis to assess heterogeneity of treatment effect in clinical trials have been the topic of numerous papers in the statistical and clinical literature, but have been discussed predominantly in the context of conventional superiority trials. Concerns about treatment heterogeneity are the same if not greater in non-inferiority (NI) trials, especially since overall similarity between two treatment arms in a successful NI trial could be due to the existence of qualitative interactions that are more likely when comparing two active therapies. Even in unsuccessful NI trials, subgroup analyses can yield important insights about the potential reasons for failure to demonstrate non-inferiority of the experimental therapy. Recent NI trials have performed a priori subgroup analyses using standard statistical tests for interaction, but there is increasing interest in more flexible machine learning approaches for post-hoc subgroup discovery. The performance and practical application of such methods in NI trials have not been systematically explored, however. We considered the Virtual Twin method for the NI setting, an algorithm for subgroup identification that combines random forest with classification and regression trees, and conducted extensive simulation studies to examine its performance under different NI trial conditions and to devise decision rules for selecting the final subgroups. We illustrate the utility of the method with data from a NI trial that was conducted to compare two acupuncture treatments for chronic musculoskeletal pain.

Social support and dental caries experience: Findings from the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study.

OBJECTIVE: To examine the association of social support with dental caries experience in Hispanics/Latinos living in the United States (US) and to assess whether the relationship is modified by nativity status. METHODS: This cross-sectional study analysed data for 4459 dentate men and women aged 18-74 years in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary Study. At baseline (2008-2011), dentists quantified dental caries experience as the number of decayed, missing, and filled permanent tooth surfaces (DMFS) for all teeth excluding third molars. Social support was assessed according to measures of structural support (Social Network Index) and functional support (Interpersonal Support Evaluation List). Covariate-adjusted multiple linear regression estimated the relationship between social support and dental caries experience and tested whether the association was modified by nativity status (born within the 50 US states, foreign-born <10 years in the United States, foreign-born >10 years or more in the United States). RESULTS: In covariate-adjusted models, each additional role in the social network was associated with 1.39 fewer DMF tooth surfaces (95% CI: -2.21, -0.58) among foreign-born Hispanics/Latinos with fewer than 10 years lived in the US. For foreign-born Hispanics/Latinos with 10 years or more in the United States, each additional social network role was associated with 0.57 fewer DMF tooth surfaces (95% CI: -1.19, 0.04). No association was observed between functional social support and dental caries experience regardless of nativity status. CONCLUSIONS: Our findings suggest that structural social support is protective against dental caries experience among recent immigrants of Hispanic/Latino background. This association may reflect the importance of social support to integration into the medical and dental infrastructure and thus receipt of dental care. Future research that examines the behavioural and cultural factors that moderate the relationship between social support and dental caries experience will inform development of culturally sensitive dental caries prevention programs for Hispanics/Latinos in the United States.

Clinical Outcomes and Inflammatory Markers by HIV Serostatus and Viral Suppression in a Large Cohort of Patients Hospitalized With COVID-19.

BACKGROUND: Limited data exist about clinical outcomes and levels of inflammatory and immune markers among people hospitalized with COVID-19 by HIV serostatus and by HIV viral suppression. SETTING: Large tertiary care health system in the Bronx, NY, USA. METHODS: We conducted a retrospective cohort study of 4613 SARS-CoV-2 PCR-positive patients admitted between March 10, 2020, and May 11, 2020. We examined in-hospital intubation, acute kidney injury (AKI), hospitalization length, and in-hospital mortality by HIV serostatus, and by HIV-viral suppression and CD4 counts among people living with HIV (PLWH) using adjusted competing risks regression. We also compared immune and inflammatory marker levels by HIV serostatus and viral suppression. RESULTS: Most patients were either non-Hispanic Black (36%) or Hispanic (37%); 100/4613 (2.2%) were PLWH, among whom 15 had detectable HIV viral load. PLWH compared to patients without HIV had increased intubation rates (adjusted hazard ratio 1.73 [95% CI: 1.12 to 2.67], P = 0.01). Both groups had similar rates of AKI, length of hospitalization, and death. No (0%) virally unsuppressed PLWH were intubated or died, versus 21/81 (26%, P = 0.04) and 22/81 (27%, P = 0.02) of virally suppressed PLWH, respectively. Among PLWH, higher CD4 T-cell counts were associated with increased intubation rates. C-reactive protein, IL-6, neutrophil counts, and ferritin levels were similar between virally suppressed PLWH and patients without HIV, but significantly lower for unsuppressed PLWH (all P < 0.05). CONCLUSIONS: PLWH had increased risk of intubation but similarly frequent rates of AKI and in-hospital death as those without HIV. Findings of no intubations or deaths among PLWH with unsuppressed HIV viral load warrant further investigation.

The Effect of Social Determinants of Health on Overactive Bladder Symptom Severity.

PURPOSE: Social determinants of health may significantly impact overall health and drive health disparities. We evaluated the association between social determinants of health and overactive bladder severity. MATERIALS AND METHODS: We conducted a multicenter, cross-sectional study of patients presenting to outpatient female pelvic medicine and reconstructive surgery clinics at Montefiore Medical Center (Bronx, New York) and Johns Hopkins Bayview Medical Center (Baltimore, Maryland) from November 2018 to November 2019. Surveys were administered to screen for overactive bladder (Overactive Bladder-Validated 8-Question Screener) and to evaluate social determinants of health. Ordinal logistic regression models were used to examine the association between overactive bladder symptom level and social determinants of health items, while adjusting for age, race, body mass index, parity, history of pelvic surgery and clinical site. RESULTS: A total of 256 patients with a mean±SD age of 58.6±14.2 years and body mass index of 30.4±7.5 kg/m2 were recruited over a 12-month period. Our sample was 33.6% White, 32% Black and 29.3% Hispanic, with 5.1% categorized as other. A higher overactive bladder symptom level was associated with food insecurity (OR 2.51, 95% CI 1.03-6.11), financial strain (OR 1.94, 95% CI 1.06-3.53), difficulty finding or keeping employment (OR 3.14, 95% CI 1.01-9.72) and difficulty concentrating (OR 2.48, 95% CI 1.25-4.95), after adjusting for site, age, race, body mass index, parity and previous pelvic surgery. CONCLUSIONS: In this cross-sectional study, certain social determinants of health were associated with greater overactive bladder severity. Unmet social needs may impact the success of overactive bladder treatment. Urologists should consider collaborating with social work and mental health specialists to better serve patients with overactive bladder and social determinants of health needs.

Early prediction of placenta accreta spectrum in women with prior cesarean delivery using transvaginal ultrasound at 11 to 14 weeks.

BACKGROUND: There is a growing body of evidence that sonographic signs of placenta accreta spectrum can be observed in the first trimester of pregnancy. The most significant marker is placental location next to or in the scar niche in women with a prior cesarean delivery. OBJECTIVE: This study aimed to assess the performance of transvaginal ultrasound in the early prediction of placenta accreta spectrum in women with a prior cesarean delivery. STUDY DESIGN: This was a retrospective cohort of women with a history of cesarean delivery who had transvaginal ultrasound at 11 to 14 weeks' gestation between September 2016 and May 2018. Ultrasound reports were reviewed and graded for suspicion of placenta accreta spectrum as follows: Grade 0 (no suspicion) if the placenta is not next to the scar; Grade 1 (intermediate suspicion) if the placenta is next or on the scar; Grade 2 (high suspicion) if the placenta was inside the scar niche. In addition, all images were reviewed and graded by trained specialists blinded to the outcome. The primary outcome was a histologic diagnosis of placenta accreta spectrum. Sensitivity, specificity, positive predictive value, and negative predictive value of first-trimester transvaginal ultrasound to detect placenta accreta spectrum were assessed. RESULTS: In this study, 467 patients were included, and 8 (1.7%) had placenta accreta spectrum at delivery. Using the original report, 442 patients (94.6%) were Grade 0, 20 (4.3%) Grade 1, and 5 (1.1%) Grade 2. The revised grading had 456 patients (97.6%) with Grade 0, 5 (1.1%) with Grade 1, and 6 (1.3%) with Grade 2. Patients with Grade 2 yielded a sensitivity of 62.5% (95% confidence interval, 24.5-91.5), specificity of 100% (95% confidence interval, 99.2-100.0), positive predictive value of 100% (95% confidence interval, 97.0-100.0), and negative predictive value of 99.4% (95% confidence interval, 98.4-99.7). Any sonographic suspicion of placenta accreta spectrum (Grade 1 or Grade 2) had a sensitivity of 75% (95% confidence interval, 34.9-96.8), specificity of 95.9% (95% confidence interval, 93.6-97.5), positive predictive value of 24% (95% confidence interval, 14.8-36.4), and negative predictive value of 99.6% (95% confidence interval, 98.5-99.9). The blinded image review yielded a better specificity (99.1% vs 95.9%; P=.001) and a positive predictive value (63.6% vs 24%; P=.02) with similar sensitivity (87.5% vs 75%; P=.52) and negative predictive value (99.8% vs 99.6%; P=.55). CONCLUSION: Transvaginal ultrasound between 11 and 14 weeks' gestation in women a with prior cesarean delivery can identify at least 3 of 4 cases of placenta accreta spectrum. A finding of placental implantation within the scar niche has high positive predictive value for placenta accreta spectrum. Prospective studies are needed to assess routine screening for placenta accreta spectrum at 11 to 14 weeks' gestation in women with a prior cesarean delivery.

COVID-19-Associated Critical Illness-Report of the First 300 Patients Admitted to Intensive Care Units at a New York City Medical Center.

BACKGROUND: The first confirmed case of novel coronavirus (2019-nCoV) infection in the United States was reported from the state of Washington in January, 2020. By March, 2020, New York City had become the epicenter of the outbreak in the United States. METHODS: We tracked all patients with confirmed coronavirus-19 (COVID-19) infection admitted to intensive care units (ICU) at Montefiore Medical Center (Bronx, NY). Data were obtained through manual review of electronic medical records. Patients had at least 30 days of follow-up. RESULTS: Our first 300 ICU patients were admitted March 10 through April 11, 2020. The majority (60.7%) of patients were men. Acute respiratory distress syndrome (ARDS) was documented in 91.7% of patients; 91.3% required mechanical ventilation. Prone positioning was employed in 58% of patients and neuromuscular blockade in 47.8% of mechanically-ventilated patients. Neither intervention was associated with decreased mortality. Vasopressors were required in 77.7% of patients. Acute kidney injury (AKI) was present on admission in 40.7% of patients, and developed subsequently in 36.0%; 50.9% of patients with AKI received renal replacement therapy (RRT). Overall 30-day mortality rate was 52.3%, and 55.8% among patients receiving mechanical ventilation. In univariate analysis, higher mortality rate was associated with increasing age, male sex, hypertension, obesity, smoking, number of comorbidities, AKI on presentation, and need for vasopressor support. A representative multivariable model for 30-day mortality is also presented, containing patient age, gender, body mass index, and AKI at admission. As of May 11, 2020, 2 patients (0.7%) remained hospitalized. CONCLUSIONS: Mortality in critical illness associated with COVID-19 is high. The majority of patients develop ARDS requiring mechanical ventilation, vasopressor-dependent shock, and AKI. The variation in mortality rates reported to date likely reflects differences in the severity of illness of the evaluated populations.

Variation in Fluid and Vasopressor Use in Shock With and Without Physiologic Assessment: A Multicenter Observational Study.

OBJECTIVES: To characterize the association between the use of physiologic assessment (central venous pressure, pulmonary artery occlusion pressure, stroke volume variation, pulse pressure variation, passive leg raise test, and critical care ultrasound) with fluid and vasopressor administration 24 hours after shock onset and with in-hospital mortality. DESIGN: Multicenter prospective cohort study between September 2017 and February 2018. SETTINGS: Thirty-four hospitals in the United States and Jordan. PATIENTS: Consecutive adult patients requiring admission to the ICU with systolic blood pressure less than or equal to 90 mm Hg, mean arterial blood pressure less than or equal to 65 mm Hg, or need for vasopressor. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Of 1,639 patients enrolled, 39% had physiologic assessments. Use of physiologic assessment was not associated with cumulative fluid administered within 24 hours of shock onset, after accounting for baseline characteristics, etiology and location of shock, ICU types, Acute Physiology and Chronic Health Evaluation III, and hospital (beta coefficient, 0.04; 95% CI, -0.07 to 0.15). In multivariate analysis, the use of physiologic assessment was associated with a higher likelihood of vasopressor use (adjusted odds ratio, 1.98; 95% CI, 1.45-2.71) and higher 24-hour cumulative vasopressor dosing as norepinephrine equivalent (beta coefficient, 0.37; 95% CI, 0.19-0.55). The use of vasopressor was associated with increased odds of in-hospital mortality (adjusted odds ratio, 1.88; 95% CI, 1.27-2.78). In-hospital mortality was not associated with the use of physiologic assessment (adjusted odds ratio, 0.86; 95% CI, 0.63-1.18). CONCLUSIONS: The use of physiologic assessment in the 24 hours after shock onset is associated with increased use of vasopressor but not with fluid administration.

A Low-Cost Trainer for the Surgical Management of Postpartum Hemorrhage.

INTRODUCTION: Simulation-based training to manage surgical postpartum hemorrhage allows for improved preparation for these rarely needed life-saving procedures. Our objectives were to design a low-tech simulation model for use in training and evaluation of surgical techniques for the management of postpartum hemorrhage and to present evidence of its validity in assessment and training. METHODS: Fifty-two obstetrics and gynecology residents and 25 attending physicians from an academic hospital were video recorded while performing the O'Leary and B-Lynch techniques on the low-tech model. Performance was evaluated using a Technical Skills Checklist, for B-Lynch and O'Leary techniques, and the Reznick's Global Rating Scale. Interrater reliability was computed to assess the consistency of the ratings between 2 raters. Average scores were determined and compared between incoming residents, junior residents, senior residents, and attending physicians to show construct validity. RESULTS: For the B-Lynch, Technical Skills Checklist scores (maximum 17 points) of attendings (15.04) and senior residents (15.12) were higher than those of junior residents (5.63) and new residents (3.38). Global Rating Scale scores (maximum 25 points) on the B-Lynch reflected the same increase (22.38, 19.35 vs. 8.85, 6.75, respectively). For the O'Leary stitch, the scores of attendings, senior, junior, and incoming residents were as follows: 15.20, 13.65, 11.54, and 2.83, respectively (maximum 19 points). This supports the construct validity of the model. The model was considered realistic and useful for improving surgical skills in 71.4% of participants. CONCLUSIONS: This low-cost, easily constructed model is a useful tool for training these surgical skills.

Pathologic measures of quality compare favorably in patients undergoing robot-assisted radical cystectomy to open cystectomy cohorts: a National Cancer Database analysis.

This study aims to assess the impact of facility characteristics on measures of surgical quality (positive surgical margin rates and lymph-node yield) in patients undergoing robot-assisted (RARC) versus open (ORC) radical cystectomy using the National Cancer Database. Patients who received RC between the years of 2010-2013 were stratified according to surgery type (ORC vs. RARC), and corresponding patient and facility-level variables (facility type and volume) were assessed. Logistic regression models for procedure type, positive surgical margins (PSMs), and LN dissection (LND) rates were estimated. Radical cystectomies (ORC = 13,236, RARC = 3687) were performed more often in academic centers (58.3%) compared to community centers (31.6%). As facility volume increased, centers performed more LNDs during ORCs (p = 0.03) and the number of nodes retrieved increased in both ORC and RARC (ORC p < 0.001; RARC p < 0.0001). Increased facility volume also resulted in significantly fewer PSMs within the RARC cohort (p = 0.01). Comparison of ORC and RARC within each facility type cohort identified improved pathological metrics for RARC with fewer PSMs (p = 0.001) as well as increased LNDs (p < 0.0001) and median number of LNs retrieved (p < 0.0001), which suggests that RARC may facilitate comparative outcomes in community centers and academic centers. Overall, higher facility volume and robot-assisted surgery resulted in more favorable pathologic metrics compared to lower facility volume and ORC.